דרושים Python

We’re building foundational infrastructure to secure AI agents — including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.

You’ll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.

Responsibilities:

• Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.

• Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.

• Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.

• Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.

• Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.

• Write thorough tests and maintain high-quality, well-documented code.

• Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.

• 5+ years of backend or systems development experience, primarily in Python.

• Strong understanding of secure API development, authentication models (JWT, OAuth2), and basic access control patterns.

• Exposure to secrets management platforms (AWS Secrets Manager, CyberArk Conjur, etc.) - bonus.

• Familiarity with or strong interest in AI agent frameworks (LangChain, AutoGen, LlamaIndex, etc.).

• Exposure to identity and access management concepts — especially in zero-trust or dynamic runtime environments — is highly valuable.

• Experience building SDKs or developer-focused tools is a plus.

• A security-first mindset, attention to detail, and strong debugging/testing skills.

• Excellent communication and collaboration skills — you’ll be interfacing with multiple engineering groups to deliver complete and secure solutions.

What you’ll be doing:

• Participate in an international team of software engineers working on products for testing NVIDIA products

• Oversee the design, implementation, and maintenance of scalable test automation frameworks.

• Manage, mentor, and guide a team of automation engineers.

• Build automated verification environment for high-end hardware and software which is at the forefront of innovation

• Drive improvements for performance, quality, stability around SW acceleration solutions.

• Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

What we need to see:

• B.Sc. degree or equivalent experience in Engineering/Computer Science/related field.

• 3+ years of experience in a leadership role, managing or software development teams.

• 7+ overall years of experience in software development and testing.

• Proven experience in a leadership role, with a track record of successfully leading scrums and projects.

• Intrinsically motivated with a desire for automation programming.

• Strong programming skills in Python.

• Strong technical abilities, problem-solving skills, coding, and design skills.

• Ability to lead feature development, take full ownership and deliver independently.

• Linux knowledge: have a general understanding of Linux operation system concepts.

Ways to stand out from the crowd:

• Proven experience in a leadership role, with a track record of successfully leading scrums and projects

• Knowledge in performance testing scenarios and creation of performance reports.

• Strong communication and interpersonal skills, with the ability to motivate and inspire others.

• Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols

• Prior software testing experience, with an understanding of Software Testing Tools and Methodologies and Python expertise

We are looking for a highly skilled and experiencedwith strong backend expertise in, hands-on knowledge of, andusing
serverless architectures. The ideal candidate thrives in production environments, has a strong technical orientation, and enjoys contributing across the full stack—including infrastructure and cross-solution integration tasks.

• Design, develop, and maintain scalable backend services using Python
• Build responsive and maintainable user interfaces using React
• Work with cloud-native serverless technologies in AWS
• Collaborate across teams on cross-solution tasks , including Terraform infrastructure integrations, CI/CD improvements, automation, and shared code tooling
• Contribute to production excellence—engaging in error analysis, observability, monitoring , and incident response
• Utilize monitoring and observability tools such as Datadog and AWS CloudWatch
• Champion DevSecOps practices , enforcing security in code, infrastructure, and deployments
• Stay current with emerging technologies, proactively propose improvements, and present PoCs or demos to stakeholders
• Foster a culture of knowledge sharing, code reviews, and continuous improvement

• 5+ years of professional software development experience, in enterprise-grade level.
• Practical experience in event-driven architecture
• Practical experience in API – defining and writing REST based API
• Strong proficiency in Python
• Solid experience with modern frontend technologies, especially React
• Practical experience with at least one major cloud provider (AWS, Azure, or GCP) and serverless frameworks
• Production experience, including support responsibilities, issue triaging, and using monitoring/alerting tools ( e.g., Datadog or same)
• Proven track record of working across boundaries: integrations, dev environments, deployment pipelines
• Ability to self-learn , conduct PoCs, and explain new tech to peers and stakeholders
• Security-conscious mindset , understanding of secure coding, cloud security best practices, and basic threat modeling

Preferred Qualifications

• Hands-on experience with AWS CDK / Serverless Framework / Terraform or similar IaC tools Experience with monorepos or large codebases
• Knowledge / Expertise in K8S
• Prior involvement in building developer platforms or internal tools
• Contributions to OSS or technical blogging/speaking

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Its an outstanding legacy of innovation thats motivated by extraordinary technologythe Digital Twin for Data Center Simulation web application. To learn more, visit

What you'll be doing:

• Collaborate with the development team to design and develop web applications using Python and Django framework.

• Write clean, efficient, and maintainable code that adheres to industry standards.

• Participate in code reviews and provide constructive feedback to ensure code quality.

• Perform unit testing and debugging to identify and fix issues.

• Work closely with product manager and architect teams to gather requirements, translate them into technical solutions, and deliver high-quality and scalable solutions.

What we need to see:

• BS degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

• Proficiency in Python with strong programming and software development skills.

• 5+ years of experience as a Python developer with hands-on experience in the Django framework.

• Experience in complex microservices based architectures

• Knowledge of Linux networking and understanding of networking concepts and protocols.

• Experience with relational databases and SQL.

• Comfortable working in a fast-paced, highly collaborative environment.

• Strong verbal and written communication skills.

Ways to stand out from the crowd:

• Background in developing virtualization solutions using technologies like QEMU and Docker.

• Familiarity with containerization technologies such as Kubernetes.

• Experience in Infrastructure as a Service (IaaS)

• Experience inInfrastructure as code (IaC)frameworks

We’re building foundational infrastructure to secure AI agents — including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.

You’ll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.

Responsibilities:

• Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.

• Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.

• Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.

• Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.

• Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.

• Write thorough tests and maintain high-quality, well-documented code.

• Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.

• 5+ years of backend or systems development experience, primarily in Python.

• Strong understanding of secure API development, authentication models (JWT, OAuth2), and basic access control patterns.

• Exposure to secrets management platforms (AWS Secrets Manager, CyberArk Conjur, etc.) - bonus.

• Familiarity with or strong interest in AI agent frameworks (LangChain, AutoGen, LlamaIndex, etc.).

• Exposure to identity and access management concepts — especially in zero-trust or dynamic runtime environments — is highly valuable.

• Experience building SDKs or developer-focused tools is a plus.

• A security-first mindset, attention to detail, and strong debugging/testing skills.

• Excellent communication and collaboration skills — you’ll be interfacing with multiple engineering groups to deliver complete and secure solutions.